Triple
T11531421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Bannon |
E273430
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bannon
Bannon is a surname most prominently associated with Steve Bannon, an American media executive and former chief strategist for U.S. President Donald Trump.
|
E932089
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bannon | Statement: [Steve Bannon, familyName, Bannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bannon Context triple: [Steve Bannon, familyName, Bannon]
-
A.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
B.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
C.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
D.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
-
E.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bannon Triple: [Steve Bannon, familyName, Bannon]
Generated description
Bannon is a surname most prominently associated with Steve Bannon, an American media executive and former chief strategist for U.S. President Donald Trump.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bannon Target entity description: Bannon is a surname most prominently associated with Steve Bannon, an American media executive and former chief strategist for U.S. President Donald Trump.
-
A.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
B.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
C.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
D.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
-
E.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839878948190b170e64629d6f2db |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6856341b481909d2ee71893e6117b |
completed | April 20, 2026, 7:58 p.m. |
| NEDg | Description generation | batch_69e68fd6b6088190b24f552b5afc3f55 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7d683448190b7557bffd92b3ad6 |
completed | April 20, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:37 p.m.